- Add proper id/htmlFor associations for verified/corrected radio inputs
- Clear correctedDiseaseSlug when switching verdict to verified to prevent stale state
- Add required={verdict === 'corrected'} to disease select
- Add loading state distinguishing between loading reviews/diseases and empty queue
- Add type="button" to diagnosis list selection buttons
- Improve selected diagnosis image alt text to include disease name
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- Prevent object URL leaks in image-classification-form by revoking previous preview URL before replacing it, revoking after successful submit, and revoking on component unmount
- Improve preview image alt text from generic "Preview" to descriptive Indonesian text "Pratinjau gambar daun jagung untuk diagnosis"
- Use auth store setter consistently in dashboard-page logout instead of direct setState call
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- Clear error state before submitting credentials in login page
- Clear error state before submitting registration in register page
- Add optional onFieldChange callback to AuthForm to clear parent errors when fields change
- Add role="alert" to error paragraph for accessibility
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- Extend shared types for image classification, including PredictionProbability, UploaderMetadata, and ImageClassificationRecord.
- Create image_classifications table in the database with necessary fields and foreign key constraints.
- Implement disease mappers to convert database rows to shared disease records.
- Develop uploader client to handle image uploads to external service.
- Create image model service to load and classify images using TensorFlow.js.
- Add API routes for image classification, including GET for history and POST for new classifications.
- Implement frontend components for image classification form and display results.
- Update dashboard to integrate image classification functionality and display results.
- Document implementation plan for backend image classification.
- Add disease detail page component with data fetching and error handling
- Create shared types for diseases and classifications
- Implement API routes for diseases, classifications, and dashboard summary
- Develop reusable components for risk badge and disease card
- Build catalog page with search and filter functionality
- Update dashboard page with data-backed summary and manual classification form
- Register new routes in the web application
- Ensure type safety and consistency across shared modules
